Spring Boot與Spark、Cassandra系統集成開發示例

本文演示以Spark作為分析引擎,Cassandra作為數據存儲,而使用Spring Boot來開發驅動程序的示例。

1.前置條件

• 安裝Spark(本文使用Spark-1.5.1,如安裝目錄為/opt/spark)
• 安裝Cassandra(3.0+)

創建keyspace

 CREATE KEYSPACE hfcb WITH REPLICATION = { 'class' : 'SimpleStrategy', 'replication_factor' : 3 };

創建table

 CREATE TABLE person ( id text PRIMARY KEY, first_name text, last_name text);

插入測試數據

insert into person (id,first_name,last_name) values('1','wang','yunfei');insert into person (id,first_name,last_name) values('2','peng','chao');insert into person (id,first_name,last_name) values('3','li','jian');insert into person (id,first_name,last_name) values('4','zhang','jie');insert into person (id,first_name,last_name) values('5','liang','wei');

2.spark-cassandra-connector安裝

讓Spark-1.5.1能夠使用Cassandra作為數據存儲，需要加上下面jar包的依賴(示例將包放置於/opt/spark/managed-lib/ 目錄，可任意):

 cassandra-clientutil-3.0.2.jarcassandra-driver-core-3.1.4.jarguava-16.0.1.jarcassandra-thrift-3.0.2.jar joda-convert-1.2.jarjoda-time-2.9.9.jarlibthrift-0.9.1.jarspark-cassandra-connector_2.10-1.5.1.jar

在/opt/spark/conf 目錄下，新建spark-env.sh 文件，輸入下面內容

SPARK_CLASSPATH=/opt/spark/managed-lib/*

3.Spring Boot應用開發

添加spark-cassandra-connector 和spark 依賴

<dependency> <groupId>com.datastax.spark</groupId> <artifactId>spark-cassandra-connector_2.10</artifactId> <version>1.5.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>1.5.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>1.5.1</version> </dependency>

在application.yml 中配置spark 與cassandra 路徑

spark.master: spark://master:7077cassandra.host: 192.168.1.140cassandra.keyspace: hfcb

此處特別說明spark://master:7077 是域名形式而不是ip地址，可修改本地hosts 文件將master 與ip 地址映射。

配置SparkContext 和CassandraSQLContext

 @Configurationpublic class SparkCassandraConfig { @Value("${spark.master}") String sparkMasterUrl; @Value("${cassandra.host}") String cassandraHost; @Value("${cassandra.keyspace}") String cassandraKeyspace; @Bean public JavaSparkContext javaSparkContext(){ SparkConf conf = new SparkConf(true) .set("spark.cassandra.connection.host", cassandraHost)// .set("spark.cassandra.auth.username", "cassandra")// .set("spark.cassandra.auth.password", "cassandra") .set("spark.submit.deployMode", "client"); JavaSparkContext context = new JavaSparkContext(sparkMasterUrl, "SparkDemo", conf); return context; } @Bean public CassandraSQLContext sqlContext(){ CassandraSQLContext cassandraSQLContext = new CassandraSQLContext(javaSparkContext().sc()); cassandraSQLContext.setKeyspace(cassandraKeyspace); return cassandraSQLContext; } }

簡單調用

@Repositorypublic class PersonRepository { @Autowired CassandraSQLContext cassandraSQLContext; public Long countPerson(){ DataFrame people = cassandraSQLContext.sql("select * from person order by id"); return people.count(); }}

啟動即可如常規Spring Boot程序一樣執行。

源碼地址: https://github.com/wiselyman/spring-spark-cassandra.git

總結

以上所述是小編給大家介紹的Spring Boot與Spark、Cassandra系統集成開發示例，希望對大家有所幫助，如果大家有任何疑問請給我留言，小編會及時回復大家的。在此也非常感謝大家對武林網網站的支持！